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Data sourced from GitHub API

TrendingMomentumPulseExplore
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  3. doocs
  4. coding-interview
JavaNiche visibilityFresh activityNo linked package signalPartial snapshot

doocs/coding-interview

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Oct 28, 2026

😀 代码面试题集,包括剑指 Offer、编程之美等

Compare closest alternativesOpen GitHub
Stars
2.4K
Forks
538
Daily momentum
—
Weekly momentum
—
30-day momentum
—

First read

Promising movement, but the picture is still partial

doocs/coding-interview is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.

Visible

2.4K public stars in the current GitStar snapshot.

Needs a narrower context read

Active

Last commit Oct 22, 2026.

Fresh activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 2.4K stars
  • 538 forks
  • Last commit Oct 22, 2026
  • Package usage not mapped yet

Compare lens

yangshun/tech-interview-handbook and firecrawl/anydoc are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.

Signal trail

Trajectory

Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.

Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Oct 22, 2026

Package reality

No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.

No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for doocs/coding-interview, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

algorithmscoding-interviewsdoocsnotesoffer
🌙Nightshift Coder
🛡️ Editorial Context

GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.

Why this rank

This repository stands out because it combines fresh update.

Fresh update
Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 2.4K
2.4K30d ago2.4K7d ago2.4K1d ago2.4KNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix
Current stars2.4K

Bar lengths use a log scale so stars and package downloads stay comparable.

Hype vs Reality
Insufficient Package Data

GitStar can see repository momentum, but it does not have a reliable linked package signal yet.

Treat stars and recent movement as discovery context only until npm or PyPI usage is available.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Java repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

yangshun/tech-interview-handbook

Shares the other category footprint with doocs/coding-interview, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

firecrawl/anydoc

Shares the other category footprint with doocs/coding-interview, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

google-research/harness2

Shares the other category footprint with doocs/coding-interview, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

robbietilton/Compositor

Shares the other category footprint with doocs/coding-interview, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked tech-interview-handbook + anydoc as the closest next comparison from the related repository set.

Open compare presetCompare with tech-interview-handbookCompare with anydoc
Repo utility

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GitHub Repositorydoocs/coding-interviewExport Ranking DataDownload CSV

Wider nearby ecosystem

Compare with tech-interview-handbookCompare with anydoc
TypeScript
143.2K
yangshun/tech-interview-handbook

Curated coding interview preparation materials for busy software engineers

Rust
23.2K
firecrawl/anydoc

Convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF to clean Markdown. Built in Rust, with Node.js and Python bindings.

Python
20.6K
google-research/harness2
Swift
18.1K
robbietilton/Compositor

The Photoshop alternative for Mac

Rust
16.4K
storytold/wordcraft

An open-source, clean-room reimplementation of Microsoft Word in pure Rust

Lean
16K
openai/math

Next step after the validation read

Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Compare the closest alternativesView the organizationRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of doocs/coding-interview based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.

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